ag994

my personal repo

basic-data-analysis-app-using-streamlit-and-amazonec2

A user-friendly interface for exploring, visualizing, and analyzing your data. With this app, you can easily load a CSV file, preview the data, and create plots and charts to uncover insights and trends. Perform various analyses including correlation, descriptive statistics, and missing value analysis to better understand your data. Enhance your da

credit_card-risk-assessment

hypothesis-testing

This repository contains code for performing statistical tests in Python. The tests included cover a range of common statistical tests such as t-tests, ANOVA, and chi-squared tests. The goal of this repository is to provide a comprehensive collection of statistical tests that are easy to use and well-documented. Each test is implemented as a funct

loan-prediction-app-using-ml-and-streamlit

This project was created to address the problem of determining the likelihood of a loan being repaid. By using machine learning, we are able to predict whether a loan will be repaid based on historical data. The resulting model is then deployed as a web application using Python and Streamlit, allowing users to easily interact with and make predicti

time-series-analysis-and-forecasting-using-arima-auto-arima-and-prophet

This repository contains a Jupyter notebook that demonstrates time series analysis and forecasting using ARIMA, auto-ARIMA, and Prophet. Time series analysis is a powerful tool for understanding and predicting future trends, and these techniques are widely used in a variety of fields such as finance, economics, and marketing. The notebook is based

tweets-sentiment-analysis-app-using-nltk-and-api

With this app, you can easily extract tweets, analyze sentiment, and visualize trends and patterns in your data. Explore and discover new insights about your Twitter activity and the conversations that matter to you." This description highlights the main features and benefits of the app, and emphasizes its ability to help the user extract and anal

used-car-price-prediction-app-using-ml

This app is a web-based tool for predicting the price of used cars. It uses a machine learning model trained on a dataset of used car listings to make predictions. Users can input information about a used car (e.g., make, model, year, mileage, etc.) and the app will display the predicted price of the car. The app is built using Flask and incorpor

zomato-streamlit-rating-predtiction-using-ml

This project was created to address the problem of determining the rating of a restaurant on Zomato. By using machine learning, we are able to predict the rating of a restaurant based on various features such as location, cuisine, and price range. The resulting model is then deployed as a web application using Python and Streamlit, allowing users t